The Role of Artificial Intelligence in Enhancing the Criminal Justice System to Reduce Arbitrary Detention
Authors/Creators
Description
This research paper presents one of the most extensive and multidimensional academic examinations of Artificial Intelligence (AI) within the criminal justice ecosystem, focusing specifically on its transformative potential in reducing arbitrary detention and strengthening human rights protections. At a time when global justice systems are undergoing rapid digital transformation, the intersection between advanced algorithmic technologies and fundamental human freedoms represents a complex and urgent area of inquiry. This study aims to provide not only a scientific overview, but also a deep philosophical, ethical, legal, and sociotechnical understanding of how AI can reshape modern justice systems.
The work begins by contextualizing AI as a paradigm-shifting technological force capable of analyzing massive volumes of structured and unstructured data far beyond human cognitive capacity. With the increasing integration of predictive analytics, machine learning, deep learning, natural language processing, and intelligent surveillance systems, law enforcement and judicial institutions face new opportunities as well as unprecedented risks. This research highlights the multifaceted applications of AI—from automated decision-support tools to intelligent biometric systems—that can strengthen procedural fairness, increase transparency, and reduce unlawful detention practices rooted in error, bias, or inefficiency.
A central focus of the paper is the phenomenon of arbitrary detention, one of the most serious and widespread violations of individual liberty recognized by international human rights law. Through extensive analysis, the study demonstrates how AI-driven risk assessment tools and predictive policing models, when designed responsibly, can reduce reliance on subjective human judgment and prevent wrongful arrests. The paper explores the capacity of AI to identify patterns of suspicious activity, analyze criminal trends with high precision, and support time-sensitive decision-making processes that traditionally overwhelm human operators. Facial recognition algorithms, digital forensic systems, behavior-analysis models, and automated case-management platforms are examined in detail as mechanisms that can serve as safeguards against human error, fraud, mistaken identity, and over-policing.
However, this research does not take a one-sided approach. It presents a profound critique of the dangers associated with unregulated AI deployment in justice systems. Drawing upon legal frameworks, ethical principles, and real-world incidents, the paper elaborates on the widespread concerns of algorithmic discrimination, biased datasets, surveillance overreach, and the erosion of privacy rights. Bias in training data, lack of transparency in algorithmic decision-making, and the black-box nature of deep learning systems can easily undermine due process, equal treatment, and constitutional rights. The research therefore positions AI not merely as a technological artifact, but as a socio-political instrument that must be evaluated against moral, legal, and democratic standards.
The paper integrates academic literature from computer science, human rights law, criminology, behavioral science, cybersecurity, sociology, and computational ethics to construct a holistic framework for responsible AI governance. It emphasizes the need for comprehensive safeguards, including algorithmic audits, privacy-by-design architectures, clear regulatory policies, continuous human oversight, explainable AI mechanisms, transparency mandates, and international cooperation to harmonize legal standards. Moreover, it stresses the importance of embedding fairness, accountability, and interpretability into AI systems deployed in high-risk domains involving detention, arrest decisions, and judicial adjudication.
A major contribution of this research lies in its proposal for a human-rights-centric AI model, which places human dignity, liberty, and non-discrimination at the center of all technological interventions. This model insists that AI should augment human decision-makers—not replace them—and highlights the need for rigorous institutional checks to prevent overreliance on automated systems. The research also outlines practical recommendations for governments, policymakers, law enforcement agencies, legal professionals, and engineers to build responsible AI ecosystems that preserve civil liberties while improving operational efficiency.
Furthermore, the paper evaluates the transformative potential of AI-enabled virtual legal assistants, automated legal research engines, digital evidence analyzers, and intelligent courtroom technologies. These innovations can accelerate judicial processes, reduce backlog, improve accessibility to legal assistance, and enhance the overall quality of justice. They also hold enormous potential to democratize access to the law, especially for marginalized individuals who are most vulnerable to arbitrary detention and systemic bias.
By synthesizing theoretical analysis with real-world implications, the paper ultimately provides a complete roadmap for integrating AI into justice systems in a way that maximizes societal benefit while minimizing ethical hazards. It delivers a powerful, forward-looking vision for the future of justice—one in which advanced technology serves not as a tool for control, but as a foundation for equality, accountability, and the protection of human rights.
This research stands as a comprehensive reference for academics, engineers, legislators, human-rights advocates, AI practitioners, judicial professionals, and policy architects interested in understanding the deep intersection between emerging technologies and civil liberties. It contributes significantly to global discussions on AI ethics, legal modernization, criminal justice reform, and responsible technology governance. Ultimately, the study affirms that the responsible use of AI has the potential to create safer societies, prevent injustice, and elevate legal systems worldwide into a new era of fairness, transparency, and respect for human dignity.
Abstract
This research examines the crucial role of artificial intelligence in enhancing the criminal justice system and safeguarding human rights. AI technologies contribute to reducing arbitrary arrests by enabling precise and data-driven analysis, highlighting the need to balance technological advancement with the protection of individual privacy. The study explores the relationship between AI and fundamental human rights—including the rights to life, liberty, and political participation—while addressing key ethical concerns such as automated discrimination, biased decision-making, and the predictive use of AI in identifying illegal activities. Emphasis is placed on the importance of privacy and data protection to prevent misuse or unfair treatment. Ultimately, the research aims to provide a comprehensive vision for integrating artificial intelligence responsibly and effectively within justice systems to promote fairness, transparency, and the protection of human dignity.
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Additional details
Additional titles
- Subtitle
- A Comprehensive Examination of AI Applications in Reducing Wrongful and Arbitrary Detention
Related works
- Cites
- Journal article: 10.1007/978-3-319-72462-1_1 (DOI)
- Preprint: arXiv:2005.04176 (arXiv)
Dates
- Created
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2023-11-10"The development of this research commenced at the beginning of 2024 and progressed through an extended period of analysis, refinement, and academic expansion."
- Available
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2025-11-22"The paper reached its final form and was formally published at the end of 2025."